Uncomment the following line to install geemap and cartopy if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the notebook example.

See below the commands to install cartopy and geemap using conda/mamba:

conda create -n carto python=3.8
conda activate carto
conda install mamba -c conda-forge
mamba install cartopy scipy -c conda-forge
mamba install geemap -c conda-forge
jupyter notebook

In [ ]:

# !pip install cartopy scipy
# !pip install geemap

# !pip install cartopy scipy # !pip install geemap

Creating publication-quality maps with multiple Earth Engine layers¶

In [ ]:

import ee
import geemap
from geemap import cartoee
import cartopy.crs as ccrs

%pylab inline

import ee import geemap from geemap import cartoee import cartopy.crs as ccrs %pylab inline

Create an interactive map¶

In [ ]:

Map = geemap.Map()

image = (
    ee.ImageCollection('MODIS/MCD43A4_006_NDVI')
    .filter(ee.Filter.date('2018-04-01', '2018-05-01'))
    .select("NDVI")
    .first()
)

vis_params = {
    'min': 0.0,
    'max': 1.0,
    'palette': [
        'FFFFFF',
        'CE7E45',
        'DF923D',
        'F1B555',
        'FCD163',
        '99B718',
        '74A901',
        '66A000',
        '529400',
        '3E8601',
        '207401',
        '056201',
        '004C00',
        '023B01',
        '012E01',
        '011D01',
        '011301',
    ],
}
Map.setCenter(-7.03125, 31.0529339857, 2)
Map.addLayer(image, vis_params, 'MODIS NDVI')

countries = ee.FeatureCollection('users/giswqs/public/countries')
style = {"color": "00000088", "width": 1, "fillColor": "00000000"}
Map.addLayer(countries.style(**style), {}, "Countries")

ndvi = image.visualize(**vis_params)
blend = ndvi.blend(countries.style(**style))

Map.addLayer(blend, {}, "Blend")

Map

Map = geemap.Map() image = ( ee.ImageCollection('MODIS/MCD43A4_006_NDVI') .filter(ee.Filter.date('2018-04-01', '2018-05-01')) .select("NDVI") .first() ) vis_params = { 'min': 0.0, 'max': 1.0, 'palette': [ 'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301', ], } Map.setCenter(-7.03125, 31.0529339857, 2) Map.addLayer(image, vis_params, 'MODIS NDVI') countries = ee.FeatureCollection('users/giswqs/public/countries') style = {"color": "00000088", "width": 1, "fillColor": "00000000"} Map.addLayer(countries.style(**style), {}, "Countries") ndvi = image.visualize(**vis_params) blend = ndvi.blend(countries.style(**style)) Map.addLayer(blend, {}, "Blend") Map

Plot an image with the default projection¶

In [ ]:

# specify region to focus on
bbox = [180, -88, -180, 88]

# specify region to focus on bbox = [180, -88, -180, 88]

In [ ]:

fig = plt.figure(figsize=(15, 10))

# plot the result with cartoee using a PlateCarre projection (default)
ax = cartoee.get_map(blend, region=bbox)
cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right')

ax.set_title(label='MODIS NDVI', fontsize=15)

# ax.coastlines()
plt.show()

fig = plt.figure(figsize=(15, 10)) # plot the result with cartoee using a PlateCarre projection (default) ax = cartoee.get_map(blend, region=bbox) cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right') ax.set_title(label='MODIS NDVI', fontsize=15) # ax.coastlines() plt.show()

Plot an image with a different projection¶

In [ ]:

fig = plt.figure(figsize=(15, 10))

projection = ccrs.EqualEarth(central_longitude=-180)

# plot the result with cartoee using a PlateCarre projection (default)
ax = cartoee.get_map(blend, region=bbox, proj=projection)
cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right')

ax.set_title(label='MODIS NDVI', fontsize=15)

# ax.coastlines()
plt.show()

fig = plt.figure(figsize=(15, 10)) projection = ccrs.EqualEarth(central_longitude=-180) # plot the result with cartoee using a PlateCarre projection (default) ax = cartoee.get_map(blend, region=bbox, proj=projection) cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right') ax.set_title(label='MODIS NDVI', fontsize=15) # ax.coastlines() plt.show()